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Predicting antimicrobial resistance

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Fowler Lab
Fowler Lab

Predicting antimicrobial resistance

Category: publication

antimicrobial resistance

New paper: Validation of an optimized Oxford Nanopore sequencing workflow versus Illumina for mycobacteria from primary MGIT culture

Philip Fowler, 24th August 202624th August 2026

Most genetic sequencing of Mycobacteria, including Mycobacterium tuberculosis, has for historical reasons used short-read technology,…

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antimicrobial resistance

New preprint: using genetics to analyse ESBL infections in a neonatal ICU ward

Philip Fowler, 7th July 20267th July 2026

In this preprint, Melody Parker as part of her DPhil, has analysed a series of…

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New preprint: ONT sequencing is comparable to Illumina sequencing for M. tuberculosis

Philip Fowler, 9th April 20269th April 2026

In this preprint, we compare the differences when Mycobacterial samples are sequenced with either long-…

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clinical microbiology

New paper: Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny

Philip Fowler, 9th February 20269th February 2026

Zam Iqbal, at the University of Bath, led this epic study published today in Nature…

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New preprint: evaluating a laboratory workflow for sequencing Mycobacteria using long-read sequencing

Philip Fowler, 7th February 20269th April 2026

In this preprint, we describe and evaluate a laboratory workflow for sequencing Mycobacterial samples using…

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antimicrobial resistance

New paper: how well can we predict AMR in tuberculosis samples?

Philip Fowler, 16th December 202516th December 2025

This paper just published in Microbial Genomics examines how well our software tool, gnomonicus, predicts…

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